Calculate ICA Sample Clauses

Calculate ICA. It is a quite common misconception in qualitative research that no numerical calculations can be performed for the study. Qualitative research aims to understand very complex an unstructured phenomena, for which a semantic analysis of the different facets and their variations is required. However, by no means this implies that no mathematical measures can be obtained for controlling the process. Due to its broad and flexible nature, qualitative research is highly sensible to introduce biases in the judgements of the researchers, so it is mandatory to supervise the research through some reliability measure that are usually numerical [25]. In this way, the quantitative approach takes place in a higher level, as meta- analysis of the conducted process in order to guarantee mathematical reliability in the drawn conclusions. Only when this formal quality assurance process is satisfactory, researchers can trust in the conclusions and the method is sound and complete. Therefore, to avoid biases and be confident that the codes mean the same to anyone who uses them, it is necessary to build that confidence. According to Krippendorff [25], reliabil- ity grounds this confidence empirically and offers the certainty that research findings can be reproduced. In the presented example about a DevOps case study, we used Inter-Coder Agreement (ICA) analysis techniques for testing the reliability of the obtained codebook. In this way, after coding, another researcher, R4, calculated and interpreted the ICA between C1 and C2. If coders did not reach an acceptable level of reliability, R1 analyzes the disagreements pointed out by R4 to find out why C1 and C2 had not understood a code in the same mode. Using this acquired knowledge, R1 delivers a refined new version of the codebook and the accompanying use instructions. R1 also reviews the codification of those quotations that led to disagreement between C1 and C2, modifying it according to the new codebook when necessary. Notice that, if a code disappears in the new version of the codebook, it also must disappear of all the quotations that were asigned with it. At this point, C1 and C2 can continue coding on a new subset of interviews transcriptions. This process is repeated until the ICA reached an acceptable level of reliability (typicall ≥ 0.8). In Section 5.3 it is provided a detailed explanation about how to compute and interpret ICA coeffients in Atlas.
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